Author

Qi Miao

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Open access Aug 2026

Integrative feature-enhanced network model predicting prostate biopsy results in patients with negative MRI

According to the Prostate Imaging Reporting and Data System, version 2.1 (PI-RADS v2.1), lesions with an intermediate or high level of suspicion (PI-RADS $$\ge$$ 3) typically undergo MRI-targeted biopsy, with or without systematic biopsies. However, among patients with negative multi-parametric MRI (mpMRI...

Haoxin Zheng, Q. Miao, A. Hung et al. · BMC Cancer · 0 citations

Open access Oct 2026

Data-Efficient Prostate Micro-Ultrasound Image Analysis using a Modality-specific Foundation Model

Background and Objective: Micro-ultrasound (MicroUS) is an emerging high-resolution imaging modality for prostate cancer diagnosis and real-time biopsy guidance, but its automated analysis is limited by labor-intensive expert annotation. We aimed to develop and evaluate a foundation model for data-efficient MicroUS ima...

K. Pang, J. Fan, A.-L.-Y. Hung et al. · medRxiv · 0 citations

Sep 2026

Micro-ultrasound super-resolution with geometry-driven consistency models.

Prostate cancer diagnosis typically relies on image-guided biopsy. Micro-ultrasound (MicroUS) has recently emerged as a promising imaging modality, offering high spatial resolution with comparable diagnostic performance to multi-parametric MRI (mpMRI) at a lower cost. However, unlike MRI, MicroUS volumes are acquired i...

K. Pang, Kai Zhao, Q. Miao et al. · Medical Image Analysis · 0 citations